Arnaud Bonin
🏃🏼♂️ Enduraw Race Briefing for Arnaud for Chianti Marathon 🏃♀️
1. 🏃🏼♂️ - Runner info
| Informations | Value |
| Name | Bonin |
| First Name | Arnaud |
| Nationality | France |
| Age | 39 |
| Team | Nutripure |

Arnaud, here is your race briefing for Chianti Marathon, we wish you a great performance for this race, best of luck!
2. 🏔 - Race Analysis
| Parameters | Value | Unit |
| Distance | 46.4 | km |
| Elevation Gain | 1703.0 | m |
| Elevation Loss | 1705.0 | m |
| Max altitude | 585.12 | m |
| Min altitude | 300.89 | m |
| Avg altitude | 417.7 | m |
| Distance gradient ≥ 1% | 21 | km |

⏬ Below, you can see your race local elevation, gradient and a 3D visualization of the profile.
🟩 Green areas refer to steeper negative gradients, while 🟥 red areas to steeper positive ones, with regard to the Chianti Marathon profile. 🎢
📊 The Chianti Marathon can be compared to similar races in terms of elevation and distances:



🗺️ Here you have the map of the race. You can zoom in to explore and visualize the trace:
3. 📈 - Pacing Strategy

Your pacing plan is customized according to 4 points:
🥇 Your expected finish time.
⛰️ Your positive and negative elevation gain.
⏱️ Your pacing strategy.
⏳ The natural drift at the end of the race.
This will give you crossing points to respect at key race points/aid station!
| Aid Station | KM | Distance between (km) | Time | Average pace(min/km) |
|---|---|---|---|---|
| Radda In Chianti (Start) | 0.0 | 0.0 | 00:00:00 | 00:00 |
| Arillo Terrabianca | 11.9 | 11.9 | 00:46:31 | 3:53 |
| Poggio San Polo | 23.9 | 11.9 | 01:39:01 | 4:24 |
| Villa Vistarenni | 39.4 | 15.5 | 02:47:35 | 4:25 |
| Radda In Chianti (Finish) | 46.4 | 7.0 | 03:19:59 | 4:36 |
4. ⛈ - Weather conditions
(Updated 24 hours before the race, within 72h range)
| Parameters | Value | Unit |
| Max temperature | 14 | °C |
| Min Temperature | 7 | °C |
| Average Temperature | 10 | °C |
| Wind speed (at departure) | 5.9 | km/h |
| Wind direction (at departure) | 122.5 | ° |
| Risk of rain | 100.0 | / |

☀️🌡️🍃 At each aid station, the weather is predicted from your checkpoint goal time :
| Aid Station | Could Coverage (%) | Temperature (°C) | Wind Speed (km/h) | Humidity (%) | Departure Time |
|---|---|---|---|---|---|
| Radda In Chianti (Start) | 100 | 11.4 | 10.1 | 86 | 2025-03-23 09:00:00 |
| Arillo Terrabianca | 98 | 13.7 | 13.5 | 74 | 2025-03-23 09:46:31 |
| Poggio San Polo | 76 | 14.2 | 14.0 | 69 | 2025-03-23 10:39:01 |
| Villa Vistarenni | 64 | 14.8 | 14.6 | 65 | 2025-03-23 11:47:35 |
| Radda In Chianti (Finish) | 73 | 15.1 | 15.2 | 60 | 2025-03-23 12:19:59 |
👕 Make sure your equipment is adapted to the weather you will face during the race! 🧊🔥
🤓 Enduraw advices:
- Use light but warm layers during the night : be an oignon ! 🌙
- Make sure your clothes breath enough to optimize thermo-regulation 🌡️
- At high altitude, sun glasses are good allies to avoid luminosity disturbances 🕶️
- Get technical accessories you can easily wear/take off when moving from sunlight to darker areas 🌲
5. ⏱️ - Pacing Plan
⏬ Here is your pacing plan km-by-km to reach your goal (click to show/hide) 🎯
Km D+ D- Pace Total time 1 4 88 00:03:48 00:03:48 2 7 40 00:03:56 00:07:44 3 12 28 00:04:03 00:11:47 4 8 22 00:04:03 00:15:51 5 92 18 00:05:11 00:21:03 6 49 49 00:04:11 00:25:14 7 8 70 00:03:49 00:29:04 8 17 39 00:04:00 00:33:04 9 85 13 00:05:09 00:38:14 10 63 36 00:04:29 00:42:43 11 9 88 00:03:47 00:46:31 12 54 17 00:04:37 00:51:08 13 4 47 00:03:53 00:55:02 14 23 47 00:03:59 00:59:01 15 84 19 00:04:59 01:04:01 16 10 72 00:03:49 01:07:50 17 12 27 00:04:03 01:11:54 18 64 22 00:04:40 01:16:35 19 34 38 00:04:08 01:20:44 20 23 68 00:03:52 01:24:36 21 62 18 00:04:42 01:29:19 22 80 4 00:05:12 01:34:31 23 43 15 00:04:30 01:39:01 24 35 40 00:04:08 01:43:10 25 35 13 00:04:25 01:47:35 26 23 17 00:04:14 01:51:50 27 12 32 00:04:01 01:55:51 28 8 79 00:03:48 01:59:39 29 28 32 00:04:08 02:03:48 30 64 21 00:04:41 02:08:29 31 46 10 00:04:34 02:13:04 32 27 29 00:04:09 02:17:14 33 2 112 00:03:49 02:21:04 34 52 17 00:04:35 02:25:39 35 63 27 00:04:35 02:30:15 36 54 52 00:04:12 02:34:27 37 28 64 00:03:55 02:38:22 38 28 33 00:04:08 02:42:31 39 70 3 00:05:04 02:47:35 40 91 0 00:05:30 02:53:06 41 5 55 00:03:51 02:56:57 42 19 46 00:03:58 03:00:56 43 19 54 00:03:55 03:04:51 44 12 30 00:04:01 03:08:53 45 35 34 00:04:11 03:13:04 46 84 9 00:05:14 03:18:19 Finish 13 4 00:01:39 03:19:59
6. 🥤🍟 - Feeding and Hydration
Nutrition and hydration are crucial to the success of a race! It is very individual and we have estimated your average carbohydrates intake based on your gender, height, age and weight (if not explicitly stated from your habits).
⏱️ Carbohydrates per hour : 90 (g/hour),
🍎 Total carbohydrates ingestion: 297.49 (g),
💦 Total liquid ingestion: 1983 (mL).
| Aid Station | KM | 25g CHO portion | 500mL water |
|---|---|---|---|
| Radda In Chianti (Start) | 0.0 | 0 | 0 |
| Arillo Terrabianca | 11.9 | 3 | 1 |
| Poggio San Polo | 23.9 | 3 | 1 |
| Villa Vistarenni | 39.4 | 4 | 1 |
| Radda In Chianti (Finish) | 46.4 | 2 | 1 |
❗At each aid station, this is the amount of carbs and water you should have ingested ❗
🤓 Enduraw advices:
- 🚩 Do not try new nutrition on race day! Make sure you eat food you know and trained with 🏃➡️
- To counterbalance sweating, make sure you have isotonic drinks or salty food during your effort 🧂
- Alternate between hot and cold food ☕🧋
- Chose different carbs inputs to keep taste and motivation 🥨🍫🍑
- Performance also stand in your pleasure! Add pleasure aliments, and not only carbs if needed 🧀🥚
👑 - More features
📈 For greater accuracy, your nutrition can be even more personalized with your exact intake per hour.
This can be determined by experience (what you're used to, what worked well for you in the past) or by carrying out laboratory tests.
🏆 To achieve your greatest goals, pacing plans can be optimized with regard to your physiological response to the effort (heart rate, energetic output).
Contact us to pursue individualization deeper and exploit your full potential!

- Enduraw is a sports performance research laboratory.
- We believe data can help us visualize/understand/predict more accurately.
- With Enduraw we turn raw data into relevant analyses.
